325 citations · 445 across the 9 of their papers we have counts for
11 papers
Standard LSParameter Estimators Ensure Finite Convergence Time for Linear Regression Equations Under an Interval Excitation Assumption
Romeo Ortega, Jose Guadalupe Romero, Stanislav Aranovskiy +1
In this brief note we recall the little-known fact that, for linear regression equations (LRE) with intervally excited (IE) regressors, standard Least Square (LS) parameter estimat…
On-line Identification of Photovoltaic Arrays' Dynamic Model Parameters
Alexey Bobtsov, Fernando Mancilla-David, Stanislav Aranovskiy +1
This paper deals with the problem of on-line identification of the parameters of a realistic dynamical model of a photovoltaic array connected to a power system through a power con…
A New Least Squares Parameter Estimator for Nonlinear Regression Equations with Relaxed Excitation Conditions and Forgetting Factor
Romeo Ortega, Jose Guadalupe Romero, Stanislav Aranovskiy
In this note a new high performance least squares parameter estimator is proposed. The main features of the estimator are: (i) global exponential convergence is guaranteed for all…
On-line Estimation of the Parameters of the Windmill Power Coefficient
Alexey Bobtsov, Romeo Ortega, Stanislav Aranovskiy +1
Wind turbines are often controlled to harvest the maximum power from the wind, which corresponds to the operation at the top of the bell-shaped power coefficient graph. Such a mode…
Persistent Excitation is Unnecessary for On-line Exponential Parameter Estimation: A New Algorithm that Overcomes this Obstacle
Marina Korotina, Jose Guadalupe Romero, Stanislav Aranovskiy +2
In this paper, we prove that it is possible to estimate online the parameters of a classical vector linear regression equation , where $ Y \in \mathbb{R}^n,\;Ω\in \mathbb{R}…
New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-time Cases
Romeo Ortega, Stanislav Aranovskiy, Anton A. Pyrkin +2
We present some new results on the dynamic regressor extension and mixing parameter estimators for linear regression models recently proposed in the literature. This technique has…
Identification of Photovoltaic Arrays' Maximum Power Extraction Point via Dynamic Regressor Extension and Mixing
Anton Pyrkin, Fernando Mancilla-David, Romeo Ortega +2
This paper deals with the problem of identification of photovoltaic arrays' maximum power extraction point---information that is encrypted in the current-voltage characteristic equ…
Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing
Aranovskiy Stanislav, Bobtsov Alexey, Ortega Romeo +1
A problem of performance enhancement for multiple frequencies estimation is studied. First, we consider a basic gradient-based estimation approach with global exponential convergen…
Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing
Aranovskiy Stanislav, Bobtsov Alexey, Ortega Romeo +1
A new way to design parameter estimators with enhanced performance is proposed in the paper. The procedure consists of two stages, first, the generation of new regression forms via…
A Parameter Estimation Approach to State Observation of Nonlinear Systems
Ortega Romeo, Bobtsov Alexey, Pyrkin Anton +1
A novel approach to the problem of partial state estimation of nonlinear systems is proposed. The main idea is to translate the state estimation problem into one of estimation of c…
Robust PI Passivity-based Control of Nonlinear Systems: Application to Port-Hamiltonian Systems and Temperature Regulation
Stanislav Aranovskiy, Romeo Ortega, Rafael Cisneros
This paper deals with the problem of control of partially known nonlinear systems, which have an open-loop stable equilibrium, but we would like to add a PI controller to regulate…